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Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes
Accurate temporal identification and normalization is imperative for many biomedical and clinical tasks such as generating timelines and identifying phenotypes. A major natural language processing challenge is developing and evaluating a generalizable temporal modeling approach that performs well ac...
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| Publicado no: | AMIA Annu Symp Proc |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765564/ https://ncbi.nlm.nih.gov/pubmed/26958265 |
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